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PMID: 15858436 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't Review

Development of pharmacogenomic markers to select preoperative chemotherapy for breast cancer.

Breast cancer (Tokyo, Japan) ·Vol. 12 ·No. 2 ·2005-00-00 ·Pages 73-85

Pusztai L, Symmans FW, Hortobagyi GN

Abstract

Individualized selection of the most effective adjuvant (or neoadjuvant) chemotherapy for breast cancer based on the molecular characteristics of the tumor could improve the risk:benefit ratio of current therapies. It could also streamline the development of new regimens for those who are unlikely to benefit from existing drugs. It is expected that combinations of markers will be more informative to predict response than any single gene and may yield regimen-specific predictors. Novel molecular analytical tools, particularly transcriptional profiling, provide a method to test this hypothesis. Several small exploratory studies have shown encouraging results. This article reviews recent progress in this field including experience from the breast cancer pharmacogenomic marker discovery program at the Nellie B. Connally Breast Center of the University of Texas M. D. Anderson Cancer Center. This manuscript is based on a presentation that was given during the Presidential Symposium of the annual meeting of the Japanese Breast Cancer Society in 2004.

MeSH Terms
Biomarkers, Tumor Breast Neoplasms/drug therapy,genetics,surgery Clinical Trials as Topic/methods Female Gene Expression Profiling Gene Expression Regulation, Neoplastic/drug effects,genetics Humans Neoadjuvant Therapy Pharmacogenetics
Chemicals
Biomarkers, Tumor
Authors & Affiliations
3 authors, click to expand affiliations / ORCID
Pusztai Lajos
Department of Breast Medical Oncology, University of Texas M. D. Anderson Cancer Center, Houston, TX 77030-4009, USA. lpusztai@mdanderson.org
Symmans Fraser W
Hortobagyi Gabriel N
Article Info
Journal
Breast cancer (Tokyo, Japan)
Abbr.
Breast Cancer
ISSN
1340-6868
Published
2005-00-00
Pages
73-85
Language
English
Region
Japan
NLM ID
100888201
Subset
IM
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